Collecting a large pool of behavioral observations requires handling vast datasets, which is the domain ofBig Data. Big Data technologies enable the storage, processing, and analysis of large-scale data (e.g., user behavior logs) to inform decisions, a key capability in security analytics.
Option A:Linear regression is a statistical method for modeling relationships, not collecting data.
Option B:Distributed consensus relates to agreement in distributed systems (e.g., blockchain), not data collection.
Option C:Big Data directly supports collecting and analyzing large datasets for insights, fitting the question perfectly.
Option D:Machine learning uses data to train models but relies on data being collected first, often via Big Data.
[Reference:CompTIA SecurityX CAS-005 Domain 3: Research, Development, and Collaboration – Data Analytics for Security., , , ]
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